Triple

T6253256
Position Surface form Disambiguated ID Type / Status
Subject TW postcode area E140097 entity
Predicate coversTown P847 FINISHED
Object Hampton Hill E81080 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Hampton Hill | Statement: [TW postcode area, coversTown, Hampton Hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hampton Hill
Context triple: [TW postcode area, coversTown, Hampton Hill]
  • A. Hampton Hill chosen
    Hampton Hill is a suburban area in the London Borough of Richmond upon Thames, known for its residential character and proximity to large green spaces.
  • B. Harrow Hill
    Harrow Hill is a prominent elevated area in Harrow, London, known for its historic setting and association with the prestigious Harrow School.
  • C. Marchwood
    Marchwood is a village in Hampshire, England, situated on the western shore of Southampton Water and known for its port facilities and proximity to the New Forest.
  • D. Hailsham
    Hailsham is a market town in southeastern England known for its historic center and role as a local commercial hub within East Sussex.
  • E. Uplands
    Uplands is a vibrant residential and commercial district of Swansea, Wales, known for its student population, nightlife, and association with poet Dylan Thomas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c008b4858c819095b0199114a9a87b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063417c8c8190945049881819d307 completed March 22, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c2442a556081908b91e7d999a82514 completed March 24, 2026, 7:58 a.m.
Created at: March 22, 2026, 4:24 p.m.